Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 19.5 * weight - 1219
This means that on average for every extra kilogram weight a rider loses 19.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TONEATTI Davide | 65 |
| 3 | KUKRLE Michael | 73 |
| 4 | ARVANITOU Nikiforos | 71 |
| 5 | STÜSSI Colin | 68 |
| 6 | MACKELLAR Alastair | 69 |
| 7 | KOSTER Adne | 65 |
| 8 | ZANGERLE Emanuel | 68 |
| 9 | FLANAGAN Liam | 67 |
| 10 | DINA Márton | 67 |
| 11 | PERNSTEINER Hermann | 55 |
| 991 | SCHWARZBACHER Matthias | 72 |